CellsNeurosciencePeer-reviewed journal article
Molecular and functional characterization of different BrainSphere models for use in neurotoxicity testing on microelectrode arrays
Julia HartmanniD, Noah Henschel, Kristina BartmanniD, Arif DönmeziD, Gabriele Brockerhoff, Katharina KochiD, Ellen FritscheiD
Abstract
The currently accepted methods for neurotoxicity (NT) testing rely on animal studies. However, high costs and low testing throughput hinder their application for large numbers of chemicals. To overcome these limitations, in vitro methods are currently developed which are based on human induced pluripotent stem cells (hiPSC) that allow higher testing throughput at lower costs. We applied six different protocols to generate 3D BrainSphere models for acute NT evaluation. These include three different media for 2D neural induction and two media for subsequent 3D differentiation resulting in self-organized, organotypic neuron/astrocyte microtissues. All induction protocols yielded nearly 100 % nestin-positive hiPSC-derived neural progenitor cells (hiNPCs) yet with different gene expression profiles concerning regional patterning. Moreover, gene expression and immunocytochemistry analyses revealed that the choice of media determines neural differentiation patterns. On the functional level, BrainSpheres exhibited different levels of electrical activity on microelectrode arrays (MEA). Spike sorting allowed BrainSphere functional characterization with the mixed cultures consisting of GABAergic, glutamatergic, dopaminergic, serotonergic, and cholinergic neurons. A test method for acute NT testing, the human multi-neurotransmitter receptor (hMNR) assay, was proposed applying such MEA-based spike sorting. These models are not only promising tools in toxicology but also for drug development and disease modeling.
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: experimental assay
- Citations
- 29
- FWCI
- 2.58
- Field percentile
- top 9%
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